1

2

3

DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

DATA ACQUISITION  HISTORICAL DATA  REAL TIME DATA 1.TELEMETRY (DAS AND EXISTING BBMB NETWORK – POINT DATA) 2.TRMM (PRECIPITATION – 27X27 KM 2 GRIDS)TRMM 3.IMD (PRECIPITATION, TEMPERATURE – POINT DATA) 4.MODIS (SNOW IMAGERIES – 500 M RESOLUTION)  FORECAST 1.NCMRWF (PRECIPITATION, TEMPERATURE – 9X9 KM 2 GRIDS)PRECIPITATIONTEMPERATURE 5

OLD MANUAL AND NEW AUTOMATIC FULL CLIMATIC STATION AT KALPA 6

OLD MANUAL CLIMATIC STATION AND SWE AT RAKCHAM REPLACED BY SNOW SENSOR AND FULL AUTOMATIC CLIMATIC STATION 7

THE HYDRO METEROLGICAL STATIONS AT KAZA WAS REPLACED WITH SNOW PILLOW SNOW DEPTH SENSOR AND FULL CLIMATIC STATION 8

THE CHANGED LOCATION AND INSTRUMENTATION OF LOHAND RAINGAUGE 9

NEW STATIONS AT CHUMAR AND TSO MURARI 10

ADCP IN OPERATION - RAMPUR 11

DATA PROCESSING  DATA FORMAT 1.POINT OR GRID WISE DATA TO CATCHMENT AVERAGE 2.DIFFERENT DATA TYPES LIKE NetCDF TO dfs0 OR TEXT TO dfs0  QUALITY ASSURANCE 1.INSANITY CHECKS 2.SETTING MIN-MAX LIMITS 3.GAP FILLING IN CASE OF MISSING DATA VALUES  DATA STORAGE AND SECURITY 1.STRUCTURED STORAGE OF RAW AND PROCESSED DATA 2.BACK UP OF STORED DATA (DAILY, WEEKLY, MONTHLY AND PERMANENT TO TAPE LIBRARIES) 3.PASSWORD RESTRICTED ACCESS 4.SYSTEM FIREWALL MONITORED ACCESS 5.VIRTUAL PRIVATE NETWORKING FOR REMOTE USERS 12

DATA MODELLING RAINFALL RUNOFF MODEL PRECIPITATION TEMPERATURE SNOW ACCUMULATION RUNOFF HYDRODYNAMIC MODEL RUNOFF INFLOW TO RESERVOIR RIVER PROFILE (velocity, discharge, level) 13

FLOOD MODEL RAINFALL RELEASES FROM RESERVOIRS INUNDATION DEPTHS FLOODING EXTENT WATER ALLOCATION MODEL RELEASES FROM DAMS SHARE/DEMAND ALLOCATION TO DIFFERENT STATES SURPLUS/DEFICIT RECESSION TIMES WATER ACCOUNTING 14

15 RR AND HD MODELLED INFLOWS AT BHAKRA DAM OBSERVED SIMULATED FLOW PRECIPITATION SWE TEMPERATURE

16 RR AND HD MODELLED INFLOWS AT PONG DAM OBSERVED SIMULATED

SHORT TERM FORECASTS  72 HOURS INFLOW FORECASTS TO RESERVOIRS FROM THE PRECIPITATION AND TEMPERATURE FORECAST DATA  RESERVOIR OPERATIONS AND ROUTING OF FLOODS DURING PEAK MONSOONS  OPEARTION OF SMALL RESERVOIRS, DAMS, POWER STATIONS FOR REPAIR, EMERGENT DIVERSIONS, PEAK GENERATION, DREDGING ETC.  TRAVEL TIME DOWNSTREAM IMMEDIATELY COMMUNICATED IN CASE OF FLASH FLOODS 17

LONG TERM FORECASTS  FOR RESERVOIR MANAGEMENT FROM APRIL TO JUNE  EARLIER NRSC HYDERABAD USING BBMB’S PRECIPITAION AND TEMPERATURE DATA PROVIDED FORTNIGHTLY SNOW MELT RUNOFF FOR THE ABOVE MENTIONED PERIOD  RTDSS HELP EQUIP BBMB WITH MORE ACCURATE SNOW ACCUMULATION ESTIMATIONS 18

19

20

21

FLOOD WARNING  FLOOD WARNING BASED ON REAL TIME OUTPUT OF HD MODEL  ACCURACY AND EFFICACY DEPENDS ON DEM, XSECTION, STRUCTURE DETAILS, GROUND REALITIES AND MORPHOLOGY OF FLOOD PLAIN 22

FLOOD MODELLING 23

24

GENERAL BENEFITS  HOLISTIC APPROACH  DYNAMIC NATURE  INSTANTANEOUS DISSEMINATION OF INFORMATION METEOROLOGICAL INFORMATION (precipitation, temperature etc.) HYDROLOGICAL INFORMATION (runoff, water levels etc.) DECISION MAKING (releases, flood warnings etc.) 25

TECHNOLOGICAL IMPROVEMENTS  MACHINE HAS SUPPLEMENTED MAN  LATEST EQUIPMENTS FOR HYDROMETEOROGICAL SETUP  OBSERVATIONS DURING EXTREME WEATHER CONDITIONS  FULL COVERAGE OF BBMB NETWORK AREA  QUICKER MULTIPLE SCENARIO GENERATIONS  REQUEST ON A CLICK OF BUTTON  TRANSPARENCY  PUBLIC DOMAIN  TRAINING OF MANPOWER  SKILL ENHANCEMENT/ INTERNATIONAL EXPOSURE  COMPUTERIZED DOCUMENTATION 26

DISSEMINATION OF INFORMATION  DASHBOARD  /SMS OF FORECAST 27

BBMB – CONTROL ROOM 28

29 DASHBOARD

30

FUTURE SCOPE  STRENGTHEN TRANSMISSION THROUGH ALTERNATE SOURCES  SURVEYS NEAR THE RIVERS FOR CROSS SECTIONS AND DEM LIKE LIDAR, 3D ETC.  DENSIFICATION OF NETWORK  SEDIMENTATION REAL TIME MONITORING 31